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  1. Proceedings of the 5th Workshop on Mobile Video (MoVid '13)
  2. Streamloading: low cost high quality video streaming for mobile users
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Streamloading: low cost high quality video streaming for mobile users
New scalable modalities in multi-view 3D video
Navigating videos by location
A comparison of the cost and energy efficiency of prefetching and streaming of mobile video
A novel scheme of ROI detection and transcoding for mobile devices in high-definition videoconferencing
A method for detecting watermarks in print using smart phone: finding no mark
Streaming over 3G and LTE: how to save smartphone energy in radio access network-friendly way
Pippi Longstocking calculus for temporal stimuli pattern on YouTube QoE: 1+1=3 and 1·4≠4·1
A detour planning algorithm in crowdsourcing systems for multimedia content gathering
Video multicast through cooperative incremental parity packet transmission
The media state vector: a unifying concept for multi-device media navigation

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Streamloading: low cost high quality video streaming for mobile users

Content Provider ACM Digital Library
Author Goyal, Sanjay Panwar, Shivendra Rath, Ayaskant
Abstract Video streaming applications are a major contributor to the recent dramatic rise of data traffic in cellular networks. Mobile users in a cellular network suffer fluctuating data rates, which almost directly reflects on the quality of video they view in a streaming service. Although replacing such video streaming services with video downloading/renting services could potentially allow such mobile users to enjoy consistently higher quality videos, traditionally such services cost a lot more than video streaming services because of legal copyright pricing and management issues. We propose a novel scalable video delivery service called streamloading that can potentially allow mobile users to enjoy download quality videos, while still being legally classified as a streaming service. We describe the implementation of the service and perform extensive simulations to evaluate streamloading, in comparison to traditional streaming services.
Starting Page 1
Ending Page 6
Page Count 6
File Format PDF
ISBN 9781450318938
DOI 10.1145/2457413.2457415
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-02-27
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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